31 Publications (Page 1 of 2)
2022
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilationMuñoz, D.F. and Abbaszadeh, P.Coastal Engineering, vol. 171.
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An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimationDeb, P.⋅Abbaszadeh, P. and Moradkhani, H.Agricultural and Forest Meteorology, vol. 321.
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Assessing irrigation mitigating drought impacts on crop yields with an integrated modeling frameworkDeb, P.⋅Han, X.⋅Abbaszadeh, P. and Xu, L.Journal of Hydrology, vol. 609.
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Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield PredictionAbbaszadeh, Peyman⋅Gavahi, Keyhan⋅Alipour, Atieh⋅Deb, Proloy and Moradkhani, HamidAgricultural and Forest Meteorology, vol. 314, pp. 108773.
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Hazard risk awareness and disaster management: Extracting the information content of twitter dataKarimiziarani, M.⋅Karimiziarani, Mohammadsepehr⋅Karimiziarani, Mohammadsepehr⋅Jafarzadegan, Keighobad⋅Jafarzadegan, K.⋅Jafarzadegan, Keighobad⋅Abbaszadeh, Peyman⋅Abbaszadeh, P.⋅Abbaszadeh, Peyman⋅Shao, W.⋅Shao, Wanyun⋅Shao, Wanyun⋅Moradkhani, H.⋅Moradkhani, Hamid and Moradkhani, HamidSustainable Cities and Society, vol. 77.
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How does precipitation data influence the land surface data assimilation for drought monitoring?Gavahi, Keyhan⋅Abbaszadeh, Peyman and Moradkhani, HamidThe Science of the total environment, vol. 831, pp. 154916, March 29, 2022.
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Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting.Abbaszadeh, Peyman⋅Muñoz, David F⋅Moftakhari, Hamed⋅Jafarzadegan, Keighobad and Moradkhani, HamidiScience, vol. 25, (no. 10), pp. 105201, October 21, 2022.
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Unraveling the Relationship Between Tropical Storms and Agricultural DroughtSong, J.Y.⋅Abbaszadeh, P. and Deb, P.Earth’s Future, vol. 10.
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Wildfires in the Arctic and tropical biomes: what is the relative role of climate?Engström, Johanna⋅Abbaszadeh, Peyman⋅Keellings, David⋅Deb, Proloy and Moradkhani, HamidNatural Hazards, vol. 114, (no. 2), pp. 1901-1914, Nov 2022.
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2021
A Combined Optimization-Assimilation Framework to Enhance the Predictive Skill of Community Land ModelZhang, C.⋅Abbaszadeh, P.⋅Xu, L.⋅Duan, Q. and Gong, W.Water Resources Research, vol. 57.
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DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecastingGavahi, Keyhan⋅Abbaszadeh, Peyman and Moradkhani, HamidExpert Systems with Applications, vol. 184, Dec 1, 2021.
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Erratum: High-resolution SMAP satellite soil moisture product: Exploring the opportunities (Bulletin of the American Meteorological Society (2021) 102 (309-315) DOI: 10.1175/BAMS-D-21-0016.1)Abbaszadeh, P.⋅Moradkhani, H.⋅Gavahi, K.⋅Kumar, S.⋅Hain, C.⋅Zhan, X.⋅Duan, Q.⋅Peters-Lidard, C. and Karimiziarani, S.Bulletin of the American Meteorological Society, vol. 102, pp. 1057.
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High-Resolution SMAP Satellite Soil Moisture Product: Exploring the OpportunitiesAbbaszadeh, Peyman⋅Moradkhani, Hamid⋅Gavahi, Keyhan⋅Kumar, Sujay⋅Hain, Christopher⋅Zhan, Xiwu⋅Duan, Qingyun⋅Peters-Lidard, Christa and Karimiziarani, SepehrBulletin of the American Meteorological Society, vol. 102, (no. 4), pp. 309-315, Apr 2021.
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How Does Precipitation Data Influence the Land Surface Data Assimilation Drought Monitoring?Gavahi, K.⋅Abbaszadeh, P. and Moradkhani, H.
Sequential data assimilation for real-time probabilistic flood inundation mappingJafarzadegan, K.⋅Jafarzadegan, Keighobad⋅Abbaszadeh, Peyman and Moradkhani, HamidHydrology and Earth System Sciences, vol. 25, (no. 9), pp. 4995-5011, 2021.
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2020
Causes of the Widespread 2019?2020 Australian Bushfire SeasonDeb, Proloy⋅Deb, Proloy⋅Deb, P.⋅Moradkhani, Hamid⋅Moradkhani, H.⋅Moradkhani, Hamid⋅Abbaszadeh, Peyman⋅Abbaszadeh, P.⋅Abbaszadeh, Peyman⋅Kiem, Anthony S.⋅Kiem, Anthony S⋅Kiem, A.S.⋅Engström, Johanna⋅Engström, Johanna⋅Keellings, D.⋅Keellings, David⋅Keellings, David⋅Sharma, Ashish⋅Sharma, Ashish and Sharma, A.Earth’s Future, vol. 8.
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Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought indexXu, Lei⋅Abbaszadeh, Peyman⋅Moradkhani, Hamid⋅Chen, Nengcheng and Zhang, XiangRemote Sensing of Environment, vol. 250, Dec 1, 2020.
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Leveraging machine learning for predicting flash flood damage in the Southeast USAlipour, Atieh⋅Alipour, Atieh⋅Ahmadalipour, Ali⋅Ahmadalipour, Ali⋅Abbaszadeh, Peyman⋅Abbaszadeh, Peyman⋅Moradkhani, Hamid and Moradkhani, HamidEnvironmental Research Letters, vol. 15, pp. 024011.
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Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought MonitoringGavahi, Keyhan⋅Abbaszadeh, Peyman⋅Moradkhani, Hamid⋅Zhan, Xiwu and Hain, ChristopherJournal of Hydrometeorology, vol. 21, pp. 2293–2308.
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Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecastingAbbaszadeh, Peyman⋅Gavahi, Keyhan and Moradkhani, HamidAdvances in Water Resources, vol. 145, pp. 103721.
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2019
A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle EastHameed, Maysoun⋅Ahmadalipour, Ali⋅Moftakhari, Hamed⋅Abbaszadeh, Peyman and Alipour, AtiehWater.
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Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning MethodAbbaszadeh, Peyman⋅Abbaszadeh, P.⋅Moradkhani, H.⋅Moradkhani, Hamid⋅Zhan, X. and Zhan, XiwuWater Resources Research.
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The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation FrameworkAbbaszadeh, Peyman⋅Moradkhani, Hamid and Daescu, Dacian NWater Resources Research.
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2018
Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modelingAbbaszadeh, P.⋅Alipour, A. and Asadi, S.Computational Intelligence, vol. 34, pp. 175-199.
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